Conference proceeding
Automatic Quantification of Pulmonary Fissure Integrity: A Repeatability Analysis
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Vol.2020-, pp.581-585
04/2020
DOI: 10.1109/ISBI45749.2020.9098394
Abstract
The pulmonary fissures divide the lungs into lobes and can vary widely in shape, appearance, and completeness. Fissure completeness, or integrity, has been studied to assess relationships with airway function measurements, chronic obstructive pulmonary disease (COPD) progression, and collateral ventilation between lobes. Fissure integrity measured from computed tomography (CT) images is already used as a non-invasive method to screen emphysema patients for endobronchial valve treatment, as the procedure is not effective when collateral ventilation is present. We describe a method for automatically computing fissure integrity from lung CT images. Our method is tested using 60 subjects from a COPD study. We examine the repeatability of fissure integrity measurements across inspiration and expiration images, assess changes in fissure integrity over time using a longitudinal dataset, and explore fissure integrity's relationship with COPD severity.
Details
- Title: Subtitle
- Automatic Quantification of Pulmonary Fissure Integrity: A Repeatability Analysis
- Creators
- Zachary W Althof - University of IowaSarah E Gerard - Brigham and Women's HospitalYue Pan - University of IowaGary E Christensen - University of IowaEric A Hoffman - University of IowaJoseph M Reinhardt - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Vol.2020-, pp.581-585
- Publisher
- IEEE
- DOI
- 10.1109/ISBI45749.2020.9098394
- ISSN
- 1945-7928
- eISSN
- 1945-8452
- Language
- English
- Date published
- 04/2020
- Academic Unit
- Internal Medicine; Radiology; Radiation Oncology; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984196980102771
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